Sia
Management Consulting
DataAnalyticsConsultant
Neural analysis suggests this role is
optimal for mid candidates.
“Data Analytics Consultant at Sia. Skills: Data Analytics, Consulting, Data Science, AI. Define business goals. Shape solution blueprints”
What You'll Achieve.
Deliver impactful data-driven strategies; Bridge gap between business objectives and technical execution; Deliver actionable data-driven solutions & insights; Create meaningful business impact
Industry & Context.
Analytical skills; Problem-solving
Unable to provide a work permit
What They're Looking For.
Must Have
Master's degree in Business, Statistics, Data Science, Computer Science, Engineering, or a related field, 0–3 years of experience in data analytics or a relevant consulting or industry role, Fluency in Dutch or French, and English, Strategic thinking with analytical skills, Proactive approach, Experience in clearly communicating and presenting complex ideas to varied audiences, Efficient collaboration with various stakeholders, Hands-on experience with Python or R for data analysis, Proficiency with SQL, Proficiency with Microsoft Excel for data manipulation
Nice to Have
Knowledge of cloud environments (AWS, Azure, GCP), Interest in applying innovative analytics and AI solutions to drive sustainability
What You'll Do.
Define business goals
Shape solution blueprints
Prepare and validate data
Perform feature engineering
Establish stable datasets
Design interactive dashboards
Implement customized reports
Automate dashboards and reports
Conduct statistical analysis
Perform exploratory data investigations
Extract actionable insights
Support decision-making
Translate technical findings
Present findings clearly
Stay up to date with trends
Apply innovative approaches
Enhance service offerings
Provide guidance to users
Leverage data effectively
Contribute to data-driven culture
Contribute to continuous learning
Enhance Sia's Data Science offerings
Enhance Generative AI offerings
Represent Sia at events
Contribute to thought leadership
Support business development
Craft proposals/offers
Identify collaboration opportunities
Nurture client relationships
How You'll Work.
Team & Collaboration
Collaborate with stakeholders; Collaborate with clients; Work closely with product; Efficient collaboration with various stakeholders; Work alongside experienced colleagues; Contribute fresh ideas to team projects; Work with team members
Communication Scope
Clearly communicating complex ideas; Presenting complex ideas to varied audiences; Translate technical findings into clear presentations; Present results interactively; Present results understandably
Full Job Description
Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Your Role As a Data Analytics Consultant, you will be at the heart of delivering impactful data-driven strategies to our clients. You will collaborate closely with local and international clients to bridge the gap between business objectives and technical execution. You will help deliver actionable data-driven solutions & insights, and present the results in an interactive, easily understandable manner. What you will do * Collaborate with stakeholders to define business goals and shape solution blueprints through workshops and mock-ups. * Prepare and validate data by mapping, extracting, cleaning, enriching, and performing feature engineering to establish stable datasets for analysis. * Design, implement, and automate interactive dashboards and customized reports that cater to specific client requirements using advanced visualization tools. * Conduct comprehensive statistical analysis and exploratory data investigations to extract actionable insights supporting decision-making. * Translate complex technical and analytical findings into clear, understandable presentations for non-technical stakeholders. * Stay up to date with industry trends, emerging technologies, and best practices in data analytics, applying innovative approaches to enhance service offerings. * Provide guidance and support to business users and team members in leveraging data effectively, contributing to a data-driven culture
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